{"id":"W4284958110","doi":"10.1039/d2bm00485b","title":"Interplay of matrix stiffness and stress relaxation in directing osteogenic differentiation of mesenchymal stem cells","year":2022,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise; Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Bordeaux; Agence Nationale de la Recherche; Centre québécois sur les matériaux fonctionnels","keywords":"Mesenchymal stem cell; Self-healing hydrogels; Chemistry; Stress relaxation; Stiffness; Cell biology; Matrix (chemical analysis); Relaxation (psychology); Biophysics; Stem cell; Acrylamide; Materials science; Polymer chemistry; Composite material; Biology; Polymer; Neuroscience; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001639397,0.000332346,0.00009836524,0.0001220272,0.00007793432,0.0001907482,0.00008963462,0.0001776662,0.0007217804],"category_scores_gemma":[0.0001401033,0.0001662842,0.0001213239,0.0001009449,0.0001183808,0.0001619125,0.0001602407,0.0001826233,0.0001455046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379754,"about_ca_system_score_gemma":0.0002006331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003377739,"about_ca_topic_score_gemma":0.001145558,"domain_scores_codex":[0.9998977,0.00002035759,0.000009014298,0.00001493322,0.00003488436,0.00002295564],"domain_scores_gemma":[0.9998761,0.00004172199,0.00003820717,0.000003719318,0.00001157573,0.00002852115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003270966,0.000007928114,0.00005910975,0.0000266643,0.000002047259,0.00001536931,0.000007733779,0.0001123019,0.9992125,0.00001945175,0.00000607735,0.0004980555],"study_design_scores_gemma":[0.000009289963,0.0001061405,0.001951502,0.00000576399,0.00001019968,0.00005987343,0.00001489038,0.000976113,0.9963583,0.00001752977,0.0004844502,0.000005935559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969156,0.0008576132,0.001292511,0.00003152294,0.00001010116,0.00001174443,0.00006964583,0.00001265755,0.0007986405],"genre_scores_gemma":[0.9969941,0.0006850988,0.001600955,0.00002704535,0.000006019498,0.00001791177,0.00005632731,0.000006261008,0.0006062309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007217804,"threshold_uncertainty_score":0.002414584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008120688910448063,"score_gpt":0.2591257930032453,"score_spread":0.2510051040927972,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}